Baseline Characteristics According to Patient Cluster<sup>*</sup>.

NIAID Data Ecosystem2026-03-09 收录

患者聚类分析

数据链接：

https://figshare.com/articles/dataset/Baseline_Characteristics_According_to_Patient_Cluster_sup_sup_/2605618 数据链接链接失效反馈

官方服务：

资源简介：

Baseline Characteristics According to Patient Cluster*.

创建时间：

2016-02-03

肥胖相关疾病数据集

疾病诊断

患者聚类分析

专病诊断名称分类模型：通过分析医学文献、临床数据和专家知识，建立一个诊断数据库。经过分词和打乱顺序的预处理后，使用 train_supervised 函数进行训练（迭代200次，学习率0.1，词N-grams长度为1，损失函数为"hs"）。模型性能通过 classification_report 方法评估，表现良好。参数更新通过命令同步模型、标签和标签名，从而快速、准确地诊断专病类型。多维诊疗数

天津市数据知识产权登记平台2025-02-24 更新1300

Patient distribution into average age and gender, according to discovered clusters.

患者聚类分析

人口统计学

Patient distribution into average age and gender, according to discovered clusters.

NIAID Data Ecosystem40

Comparison of the three patient clusters identified by hierarchical ascending classification.

患者聚类分析

医疗群体细分

Comparison of the three patient clusters identified by hierarchical ascending classification.

Figshare2024-04-10 更新30

Concordance networks and application to clustering cancer symptomology

疾病症状网络分析

患者聚类分析

Symptoms of complex illnesses such as cancer often present with a high degree of heterogeneity between patients. At the same time, there are often core symptoms that act as common drivers for other sy

NIAID Data Ecosystem80

Tabular representation of the clusterings of interest for the identified patients.

患者聚类分析

临床数据分析

Among the 711 analyzed patients, 64 were classified as “different” and distributed across 11 clusterings. This table provides a detailed overview of their distribution. The abbreviations “e”, “se”, “c

Figshare2026-01-14 更新40

Baseline Characteristics According to Patient Cluster<sup>*</sup>.

资源简介：

相关数据集